Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) vs Co-Brain Questionnaire Agent (security questionnaire automation)
Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) (Check Point Software Technologies) and Co-Brain Questionnaire Agent (security questionnaire automation) (Co-Brain (Co-Brain GmbH)) are both listed in the Security category of Agent Index. They share no framework tags in our dataset. Only Co-Brain Questionnaire Agent (security questionnaire automation) is tagged for DORA.
| Field |  Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) |  Co-Brain Questionnaire Agent (security questionnaire automation) |
|---|---|---|
| Vendor | Check Point Software Technologies | Co-Brain (Co-Brain GmbH) |
| HQ | Israel · Middle East | Germany · Europe |
| Primary category | Security | Security |
| Also listed in | Security | Security, Compliance, Risk |
| Summary | Part of Check Point Exposure Management, launched May 28, 2026. AI agents reason like attackers across an organisation's external attack surface, correlating exposures, leaked credentials, CVE and live exploit research with existing protection coverage, then safely prove, pivot on, or discard each finding, so teams get evidence of what is actually exploitable. | German agent that completes incoming security questionnaires (vendor assessments, TISAX, ISO 27001, DORA) in Excel, PDF, Word or vendor portals from the customer's policies, certificates and past answers, with a source citation on every answer, consistent answers to re-worded questions, expert routing and team approval. |
| Framework tags (Agent Index) | — | DORA |
| Frameworks (vendor-claimed) | — | TISAX, ISO 27001, DORA, GDPR |
| Capabilities / tasks | attack surface, exposure management, pen test management, vulnerability management, threat intelligence | questionnaire automation, workflow automation |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://www.checkpoint.com/solutions/agentic-exposure-validation/ | https://co-brain.ai/en/questionnaire-agent |
| Last checked | 2026-10-19 | 2026-10-19 |
| Official site | https://www.checkpoint.com/solutions/agentic-exposure-validation/ | https://co-brain.ai/en/questionnaire-agent |
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.
Also in this use case
Other verified listings that share a task tag or use-case group with Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) or Co-Brain Questionnaire Agent (security questionnaire automation). Open a pair page or the use-case table — this is not a ranking.
- Censinet Risk Assessor Agent (Assessor Agent for Supply Chain and Vendor Risk, Censinet GRC AI) — Healthcare third-party risk agent in Censinet RiskOps that reviews vendor questionnaire responses and supporting documents (such as SOC 2 and penetration-test reports), captures integration details from requests, identifies findings and drafts assessment reports and corrective action plans for the risk assessor to validate.
- depthfirst autonomous security agents (code, supply chain, secrets and agentic pentesting) — San Francisco application-security platform whose autonomous AI agents trace business logic and data flows to find exploitable code vulnerabilities, check dependency reachability and secrets, review pull requests with proposed fixes, and run agentic pentests against running applications, re-running each attack after a fix merges to confirm it is closed.
- Edgescan Atomic (agentic autonomous penetration testing in the Edgescan platform) — Autonomous penetration testing built into the Dublin-based Edgescan platform, launched October 7, 2026. A team of narrow AI agents plans, adapts, chains vulnerabilities and validates real impact on web applications, using Edgescan's existing asset context and findings, while a deterministic 'Harness' enforces scope, permissions, approvals and allowed actions. Findings land alongside Edgescan's DAST, PTaaS and ASM results. · Edgescan Atomic (agentic autonomous penetration testing in the Edgescan platform) pair comparison
- episki Autonomous GRC (AI Orchestration agents for policies, questionnaires, vendors and evidence) — A GRC platform built around agents that draft policies, answer inbound security questionnaires, review vendors' SOC 2 and CAIQ responses, map controls, assess risks and write deterministic evidence-collection recipes. Every plan, step-run and sensitive action goes through human approvals and safety floors. Pricing is published.
- Nullify autonomous product-security agents (find-to-fix with merge-ready PRs and AI Pentest Agent) — Australian 'autonomous system of agents' for product security that covers code, secrets, API pentesting and exploit validation. It proves findings with reproducible evidence, scores them against the customer's assets, writes merge-ready fix PRs routed to code owners, and runs remediation campaigns through Jira and Slack until merge, with the customer keeping final merge approval.
- Procol Supplier Ops Agent (supplier onboarding, due-diligence and compliance, scoring and risk agents) — A coordinated set of procurement-side AI agents that run supplier onboarding from invite to approval. They validate tax IDs, licences and certificates, run continuous AML, sanctions and debarment screening, track contract expiry and compliance deviations with audit trails, and score suppliers on cost, quality, delivery and compliance.
- Rescana autonomous TPRM agents (Discovery & Classification, Risk Assessment, Communication & Remediation and Manager agents) — A third-party risk platform run by a coordinated team of AI agents. They discover and classify vendors from identity, procurement and IT systems, collect and analyse vendor documentation and questionnaires against external attack-surface intelligence, chase vendors for missing evidence and remediation, and orchestrate approvals with humans in control.
- Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot — Offensive-security vendor from Milpitas, California. Its on-premises, model-agnostic RidgeGen agent does agentic AI red teaming: it reasons through multi-step attack chains to find business-logic and non-CVE risks, verifies every finding with reproducible exploit evidence, gives fix guidance and re-runs to confirm fixes. It sits alongside RidgeBot automated pentesting. · Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot pair comparison
Use-case comparisons
- Agentic pentesting AI agents — 19 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
- TPRM and vendor-risk AI agents — 33 listings (Third-party risk, vendor assessments, security ratings and questionnaire automation)
- Security questionnaire AI agents — 7 listings (Inbound security questionnaires, SIG/CAIQ-style responses and questionnaire automation)
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